{
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  {
   "cell_type": "markdown",
   "id": "255837b0-f386-4c27-ac42-be7679e6ba6a",
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   "source": [
    "# NumPy科学计算库\n",
    "用于数据分析，现如今的大数据+人工智能领域，数据分析也能称为一门职业，也是学习Pandas的基础"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4aea23-1b73-4482-8380-190d9b2af28e",
   "metadata": {},
   "source": [
    "## Numpy的概述\n",
    "Numpy(Numerical Python)是一个开源的Python科学计算库，是Python语言中做科学计算的基础，重在于数值计算，也是大部分Python科学计算库的基础，多用于在大型、多维数组上执行的数值运算"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "684b1372-fd70-4a68-afda-a0a279518620",
   "metadata": {},
   "source": [
    "## Numpy使用的原因\n",
    "- 对于同样的计算任务，使用Numpy对比直接使用Python代码实现：\n",
    "  - 代码更简洁\n",
    "    - Numpy直接以数组，矩阵为粒度计算并且支撑大量的数学函数，而Python需要用for循环从底层实现\n",
    "  - 性能更为高效\n",
    "    - Numpy的数组存储效率和输入输出计算性能，比Python使用List或者嵌套List好很多\n",
    "      - 注: 【Numpy的数据存储和Python原生的List是不一样的】\n",
    "      - 注：【Numpy大量的数据代码是根据C语言开发实现的，这是Numpy代码速度快的原因】\n",
    "  - Numpy的其他优势：\n",
    "    - 在数组运算方面，Numpy提供了大量的科学计算（统计相关、线性代数、随机抽样等）\n",
    "    - 多维向量的描述和快速高效的计算能力，让数组和矩阵的使用更加自然\n",
    "    - 大量实用的科学任务，支撑复杂的线性代数、随机数生成以及傅里叶变换函数\n",
    "    - 同样的数值计算任务，使用Numpy要比直接原生Python代码更便捷\n",
    "    - 拥有用于读写磁盘数据的工具以及用于操作内存映射文件的工具\n",
    "    - 用于集成C、C++、Fortran等语言缩写的代码的API"
   ]
  },
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"
    }
   },
   "cell_type": "markdown",
   "id": "2560cd88-8536-441d-8856-ee2a37dcb42f",
   "metadata": {},
   "source": [
    "Numpy是Python各种科学数类库的基础库\n",
    "![image.png](attachment:5d7a310b-907c-4303-8395-98bb80780834.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a95e01bb-18bd-4152-a48b-88e7dd59c49c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import numpy as np   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "24e6feef-8ba2-4667-9469-f4e6f6bba2bc",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'npp' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m my_arr \u001b[38;5;241m=\u001b[39m npp\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1000000\u001b[39m)    \u001b[38;5;66;03m#使用Numpy处理数据\u001b[39;00m\n\u001b[0;32m      2\u001b[0m my_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1000000\u001b[39m))\n",
      "\u001b[1;31mNameError\u001b[0m: name 'npp' is not defined"
     ]
    }
   ],
   "source": [
    "my_arr = npp.arange(1000000)    #使用Numpy处理数据\n",
    "my_list = list(range(1000000))    #使用Python原生的方式处理list数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1e226fee-93b4-44a1-9650-0553a0eef9dd",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'my_list' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[2], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m20\u001b[39m):  \u001b[38;5;66;03m#这里的下划线表示不确定这里的变量叫什么名字，所以无名氏是用下划线表示\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m     my_lists2 \u001b[38;5;241m=\u001b[39m [x \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m my_list]\n\u001b[0;32m      3\u001b[0m     my_list2\n\u001b[0;32m      5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m20\u001b[39m):  \n",
      "\u001b[1;31mNameError\u001b[0m: name 'my_list' is not defined"
     ]
    }
   ],
   "source": [
    "for _ in range(20):  #这里的下划线表示不确定这里的变量叫什么名字，所以无名氏是用下划线表示\n",
    "    my_lists2 = [x * 2 for x in my_list]\n",
    "    my_list2\n",
    "\n",
    "for _ in range(20):  \n",
    "    my_arr2 = my_arr * 2\n",
    "    my_arr2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fed20e5-1511-493e-a3c1-13ae9c2c9636",
   "metadata": {},
   "source": [
    "## Numpy与原生Python的对比\n",
    "- 性能差距\n",
    "- 关于具体的性能问题，考察一个包含一千万整数的数组，和一个等价的Python列表，分别计算两个对象中每一个元素的平方，这里计算20次！观测计算的执行时间\n",
    "- 基于Numpy的算法要比纯Python快10被到100倍（甚至更快），并且使用的内存更少\n",
    "- 计算 A^2 + B^3 其中A和B是一维数组\n",
    "- 简单来说，前者是针对元素本身进行计算，后者是针对数组进行计算，面向数组编程\n",
    "- 总体来看，越是复杂的计算，Numpy科学计算库越能简化操作，从而在后续甚至未来的计算当中国，一直都会使用它的原因"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a603e51-1b6b-4ed8-8f84-6cfc8c62d15a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def pySum():    #原生列表实现\n",
    "    a = [0, 1, 2, 3, 4]\n",
    "    b = [9, 8, 7, 6, 5]\n",
    "    c = []\n",
    "    for i in range(len(a)):\n",
    "        c.append(a[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "be49f880-6021-465e-b4df-1290a0a17166",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[729 513 347 225 141]\n"
     ]
    }
   ],
   "source": [
    "#观察Numpy对于程序简洁化帮助\n",
    "import numpy as np\n",
    "\n",
    "def npSum():\n",
    "    a = np.array([0, 1, 2, 3, 4])\n",
    "    b = np.array([9, 8, 7, 6, 5])\n",
    "    c = a**2 +b**3\n",
    "    return c\n",
    "\n",
    "print(npSum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7fb24d9-2581-48d2-b1fc-2f3adb7744d2",
   "metadata": {},
   "source": [
    "## 数组对象ndarray\n",
    "Numpy提供两种基本对象ndarray(N-dimensional Array Object)和ufunc(Universal Function Object)前者是存储单一数据类型的多维数组，后者是能够对数组进行处理的函数"
   ]
  },
  {
   "attachments": {
    "516fe1c7-07b0-476d-9ca5-da0638f3b5e6.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "aea2b622-c611-4c9e-8a8a-8ca2c356b3e0",
   "metadata": {},
   "source": [
    "### Numpy的数组对象ndarray\n",
    "- Numpy最重要的一个特点就是使其N数字对象（即ndarray）该对象是一个快捷而灵活的大数据集容器，它是一个一系列相同类型元素组成的数组集合，数组中每个元素都占有大小相同的内存块！可以利用这种数组对整块数据执行数据运算，其语法跟标量元素之间的运算一样，常见的数组对象为：![image.png](attachment:516fe1c7-07b0-476d-9ca5-da0638f3b5e6.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8a396f4c-5439-48e7-b0a4-0b427de88af0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1 2 3 4]\n",
      " [9 8 7 6 5]]\n"
     ]
    }
   ],
   "source": [
    "#np.array()的操作\n",
    "#coding:UTF-8\n",
    "\n",
    "a = np.array([[0,1,2,3,4],[9,8,7,6,5]])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3a73025-9e01-4f80-aef7-8618b6ca6779",
   "metadata": {},
   "source": [
    "高维数据\n",
    "- 高维数据仅利用最基本的二元关系展示数据间的复杂结构\n",
    "- 高维数据表示：字典类型或数据表示格式(JSON)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8d060ea-b9bb-4ee5-987a-7cabcb2177e6",
   "metadata": {},
   "source": [
    "## ndarray对象的属性\n",
    "- ndarray是一个多维数组对象，由两部分构成：\n",
    "  - 实际的数据\n",
    "  - 描述这些数据的元数据（数据维度、数据类型等） "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "355722c0-a550-4c84-9de3-ddf4bcfec778",
   "metadata": {},
   "source": [
    "ndarray实例\n",
    "- np.array()\n",
    "- 描述：生成一个ndarray数组，ndarray在程序中的别名是array"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f487cdf-1da6-4cc5-97aa-2c4b1bc205bd",
   "metadata": {},
   "source": [
    "array(object, dtype=None, copy=bool, order='K', subok:bool, ndmin:int, like:array_like)\n",
    "- object: array_like数组，任何暴露数组接口的对象，其__array_方法返回一个数组或任何（嵌套）序列。若对象是标量，则包含对象的0维数组返回\n",
    "- dtype：数据类型（可选）。数据所需的数据类型。如果没有给出，Numpy将会尝试从输入的object推断数据类型。如果object包含不同类型的元素，Numpy会根据类型提升规则选择一个可以容纳所有元素的数据类型\n",
    "- copy: bool(可选)如果为true(默认)，则复制对象。否则，副本将仅当'__array_'返回一个副本，且obj是嵌套序列，或者如果需要一个副本来满足其他任何一个要求（“数据类型”、“顺序”等）。如果设置为False, Numpy将尝试避免不必要的复制。但是，如果dtype、order或其他参数要求数据的布局或类型发生变化，那么即使copy设为False, Numpy也会创建一个新的数组来满足这些要求。\n",
    "- order: {\"K\"、\"A\"、\"C\"、\"F\"}(可选)。指定序列的内存布局。如果对象不是数组，新创建的数组将按C顺序排序（行主），除非“F”为指定，在这种情况下，它将按Fortran顺序排序（列主要）。如果对象是数组，则满足以下条件。在copy=False的情况下，“A”意味着如果输入已经是数组，并且是以Fortran顺序存储的，则输出也是Fortran顺序；如果输入是以C顺序存储的，则输出也是C顺序。如果输入不是数组，\n",
    "- subok: bool(可选)\n",
    "- ndmin: int(可选)\n",
    "- like: array_like(可选)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e305f645-0ad8-496c-9b3a-dc75188ff82e",
   "metadata": {},
   "source": [
    "【重要】\n",
    "- ndim:秩，即轴的数量或维度的数量\n",
    "- shape: ndarray对象尺度，对于矩阵n行m列\n",
    "- size: ndarray对象元素的个数，相当于shape中n*m的值\n",
    "- dtype: ndarray对象的元素类型\n",
    "- itemsize: ndarray对象中每个元素的大小，以字节为单位"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "91ce337b-a207-41de-bdd6-220a4eebf7a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 (2, 5) 10 int32 4\n"
     ]
    }
   ],
   "source": [
    "#coding:UTF-8\n",
    "a = np.array([[0,1,2,3,4],[9,8,7,6,5]])\n",
    "print(a.ndim, a.shape, a.size, a.dtype, a.itemsize)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f52c3c4a-9070-44c9-8125-bd8127b75b02",
   "metadata": {},
   "source": [
    "## ndarray的元素类型\n",
    "- bool_: 布尔数据类型（True和False）\n",
    "- int_: 默认的整数类型\n",
    "- intc_: 一般是int32或int64\n",
    "- intp: 用于索引的数据类型\n",
    "- int8: 字节（-128到127）\n",
    "- int16整数（-32768到32767）\n",
    "- int32整数（-2147483648到2147483647）\n",
    "- int64整数（-）\n",
    "- uint16无符号整数（0 to 65535）\n",
    "- uint32无符号整数（0 to 4294967295）\n",
    "- "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "681b4e63-e1b5-40ab-a535-4d4bc0d1be60",
   "metadata": {},
   "source": [
    "## 数组ndarray的创建\n",
    "### np.array()函数创建数组\n",
    "Numpy提供array函数可以创建一个一维或多维数组，使用基本方法：\n",
    "- numpy.array(object, dtype=None, copy=True, order='K', subbok=False, ndim=0)\n",
    "- object: 接受array,表示要创建的数组\n",
    "- dtype: 表示数据所需要的数据类型，如果未给定，则选择保存对象所需的最小的数据类型，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "88fdeda6-fc13-420d-babc-4250e29213dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding:UTF-8\n",
    "np.array([1,2,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a605a5ff-6203-42f5-80a9-8c9bec2a44c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.array([1,2,3], ndim=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "638374d7-fb7f-4758-a923-721d9296a2d1",
   "metadata": {},
   "source": [
    "## np.arange()函数\n",
    "- arange([start,], stop[, step], dtype=None, *, like=None)\n",
    "- start: 开始位置，数字，可选项，默认起始值为0值\n",
    "- stop: 停止位置，数字\n",
    "- step: 步长，数字，可选项，默认步长为1，如果指定了step，则还必须给出start\n",
    "- dtype: 输出数组的类型，如果未给出dtyep，则"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "af455c9e-d7b9-431a-bbc5-81a02b6dd0dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5]\n"
     ]
    }
   ],
   "source": [
    "print(np.arange(6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0386e7fd-8033-4826-912a-f8fc523f6731",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2 3 4 5]\n"
     ]
    }
   ],
   "source": [
    "print(np.arange(2, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c80b39ef-a190-4e27-ab45-2c5d937b1166",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 3 5]\n"
     ]
    }
   ],
   "source": [
    "print(np.arange(1, 6, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6b211e3e-e0f2-4fb6-b9ce-bbe412dda444",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.5 0.6 0.7 0.8]\n",
      "[0.5 0.6 0.7 0.8]\n"
     ]
    }
   ],
   "source": [
    "#使用arange函数创建小数，创建小数的时候，不需要再写方括号\n",
    "print(np.arange(0.5, 0.9, 0.1))\n",
    "print(np.arange(0.5, 0.8, 0.1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1542cd80-9d53-407a-ba85-38d6484777b9",
   "metadata": {},
   "source": [
    "## np.linspace()函数创建数组\n",
    "- np.linspace()根据起止数据间距的填充数据，形成数组，等差数列\n",
    "- np.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)\n",
    "- start: 表示序列的起始值\n",
    "- stop: 序列的终止值\n",
    "- num: 要生成的等步长样本数量，默认为50\n",
    "- endpoint: 该值为true时，数列中包含stop值，反之不包含，默认是true\n",
    "- retstep: 如果为true时，生成的数组中会显示间距，反之不显示\n",
    "- dtype: edarray的数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7385bd4c-6310-4ca3-adf3-479279516fc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0. , 0.1, 0.2, 0.3, 0.4, 0.5])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#linspace的使用\n",
    "np.linspace(0, 0.5, 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52b1c1c7-8e83-4eed-b092-3131d4e01d99",
   "metadata": {},
   "source": [
    "## np.logspace()函数创建数组\n",
    "- np.logspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ee82cdbd-eeda-4ae9-afb4-11e0bc1177c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 2., 4., 8.])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.logspace(0,3,4,base=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ea39fca-7a13-41f2-93ec-a18d707ed707",
   "metadata": {},
   "source": [
    "巩固练习"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c55a3aa1-076d-458c-ba61-33cc27ee6910",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0  1  2  3]\n",
      " [ 4  5  6  7]\n",
      " [ 8  9 10 11]]\n",
      "<class 'numpy.ndarray'>\n",
      "2\n",
      "(3, 4)\n",
      "12\n",
      "int32\n"
     ]
    }
   ],
   "source": [
    "#coding:UTF-8\n",
    "import numpy as np\n",
    "\n",
    "data = np.arange(12).reshape(3, 4)   #创建一个3行4列的数组\n",
    "print(data)\n",
    "print(type(data))\n",
    "\n",
    "print(data.ndim)   #打印数组的维度个数\n",
    "print(data.shape)  #打印数组的维度\n",
    "print(data.size)   #打印数组元素的个数\n",
    "print(data.dtype)   #int32 整数类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1ceb822e-9bf6-4906-86df-01add65a697e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3]\n",
      "[[1 2 3]\n",
      " [4 5 6]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "data1 = np.array([1,2,3])\n",
    "print(data1)\n",
    "\n",
    "data2 = np.array([[1,2,3], [4,5,6]])\n",
    "print(data2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5509899-6908-458a-9614-7b775396656a",
   "metadata": {},
   "source": [
    "## 通过不同的方法来对数组进行处理操作"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7c9bb815-91cb-4cdb-95f2-796f785276b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0. 0. 0. 0.]\n",
      " [0. 0. 0. 0.]\n",
      " [0. 0. 0. 0.]]\n",
      "[[1. 1. 1. 1.]\n",
      " [1. 1. 1. 1.]\n",
      " [1. 1. 1. 1.]]\n",
      "[[1.21814644e-311 2.22329541e-322]\n",
      " [0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 1.16096346e-028]\n",
      " [9.82205649e+252 1.11789342e+253]\n",
      " [4.58129368e-072 8.45868240e-053]]\n",
      "<class 'numpy.ndarray'>\n",
      "float64\n",
      "[ 1  6 11 16]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "#（1）通过zeros()函数创建元素值都是0的数组\n",
    "np_zeros = np.zeros((3,4))\n",
    "print(np_zeros)\n",
    "\n",
    "#（2）通过ones()函数创建元素值都是1的数组\n",
    "np_ones = np.ones((3,4))\n",
    "print(np_ones)\n",
    "\n",
    "#(3)empty()函数创建一个新的数组，该数组只分配了内存空间，它里面填充的元素都是随机的，且数据类型默认为float类型\n",
    "np_empty = np.empty((5,2))\n",
    "print(np_empty)\n",
    "print(type(np_empty))\n",
    "print(np_empty.dtype)\n",
    "\n",
    "#(4)通过arange()函数可以创建一个等差数列\n",
    "np_arange = np.arange(1, 20, 5)\n",
    "print(np_arange)\n",
    "\n",
    "#(5)通过name属性可以访问获取数据类型\n",
    "data_one = np.array([[1,2,3],[4,5,6]])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c20f6f87-9fdb-44c3-9259-a27cc48874fd",
   "metadata": {},
   "source": [
    "转换数据类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "36402c72-5dbe-480e-8e15-9ca410e56f17",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int32\n",
      "float64\n"
     ]
    }
   ],
   "source": [
    "data = np.array([[1,2,3],[4,5,6]])\n",
    "print(data.dtype)\n",
    "\n",
    "float_data = data.astype(np.float64)  #数据类型转换为float64\n",
    "print(float_data.dtype)   #输出成功，表示此时numpy中的数据类型已经从整型转换为浮点型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bc6fffde-d346-4cd2-a56d-3f22b3c018ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "float_data = np.array([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bea3a1a0-9db4-4370-82da-6314bb7e53da",
   "metadata": {},
   "outputs": [],
   "source": [
    "#如果数组中现在的元素是字符串，且字符串中每个字符都是数字，则也可以使用astype()方法进行转换\n",
    "str_data = np.array(['1', '2', '3'])\n",
    "int_data = str_data.astype(np)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdbd4bb9-a385-4ec7-92bb-16a864641239",
   "metadata": {},
   "source": [
    "## 数组运算"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6da01355-447f-4dbf-8058-4a7ec8af5a58",
   "metadata": {},
   "source": [
    "矢量化运算"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30c2cea6-4207-40aa-b495-1dd550f31377",
   "metadata": {},
   "source": [
    "在numpy中，大小相等的数组之间的任何运算符都会应用到元素级，即只用于位置相同的元素之间，所得的结果组成一个新的数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ad763286-fbb6-48b4-bb63-44eb187df289",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2  4  6]\n",
      " [ 8 10 12]]\n",
      "[[ 1  4  9]\n",
      " [16 25 36]]\n",
      "[[0 0 0]\n",
      " [0 0 0]]\n",
      "[[1. 1. 1.]\n",
      " [1. 1. 1.]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "data1 = np.array([[1,2,3],[4,5,6]])\n",
    "data2 = np.array([[1,2,3],[4,5,6]])\n",
    "data_plus = data1 + data2    #数组之和\n",
    "print(data_plus)\n",
    "\n",
    "data_mulity = data1 * data2    #数组相乘\n",
    "print(data_mulity)\n",
    "\n",
    "data_dev = data1 - data2\n",
    "print(data_dev)\n",
    "\n",
    "data_c = data1 / data2\n",
    "print(data_c)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec1375ec-d35f-4f8d-a6ab-bea72c0ae48c",
   "metadata": {},
   "source": [
    "## 数组和标量之间的运算\n",
    "- 广播机制两个或两个以上数组的运算，即使这些数组的shape是不相等的，满足以下一个条件即可：\n",
    "- "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "009a27f9-b13f-440a-9e58-1e28fc82baf1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[11 12 13]\n",
      " [14 15 16]]\n",
      "[[10 20 30]\n",
      " [40 50 60]]\n",
      "[[11 12 13]\n",
      " [14 15 16]]\n",
      "[[0.1 0.2 0.3]\n",
      " [0.4 0.5 0.6]]\n"
     ]
    }
   ],
   "source": [
    "# 数组和标量之间的运算\n",
    "import numpy as np\n",
    "\n",
    "data1 = np.array([[1,2,3],[4,5,6]])\n",
    "data2 = 10\n",
    "data_result12 = data1 + data2\n",
    "print(data_result12)\n",
    "\n",
    "data_result12_multi = data1 * data2\n",
    "print(data_result12_multi)\n",
    "\n",
    "data_result12_dev = data1 + data2\n",
    "print(data_result12_dev)\n",
    "\n",
    "data_result12_div = data1 / data2\n",
    "print(data_result12_div)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbcfce4a-198d-421c-9639-0ab4027e3be3",
   "metadata": {},
   "source": [
    "## 【重中之重】\n",
    "## ndarray的索引和切片\n",
    "- ndarray对象支持索引和切片操作，且提供了比常规Python序列更多的索引功能，除了使用整数进行索引以外，还可以使用整数数组和布尔数组进行索引\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9180b0e2-acff-4516-850a-bc2e92a17251",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7]\n",
      "5\n",
      "[3 4]\n",
      "[1 3 5]\n"
     ]
    }
   ],
   "source": [
    "#索引和切片\n",
    "import numpy as np \n",
    "\n",
    "arr = np.arange(8)\n",
    "print(arr)    #[0 1 2 3 4 5 6 7]\n",
    "\n",
    "print(arr[5])    #获取索引为5的元素\n",
    "\n",
    "print(arr[3:5])    #获取索引为3-5的元素[3 4]\n",
    "print(arr[1:6:2])    #获取索引为1-6的元素，步长为2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b3f385c-ef07-432b-ae82-c9512171658a",
   "metadata": {},
   "source": [
    "对于多维数组来说，索引和切片的使用方式和列表大不相同。在二维数组中，每个索引位置上的元素不再是"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d6be4b52-5938-49d9-b597-204bd10d26c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 2 3]\n",
      " [4 5 6]\n",
      " [7 8 9]]\n",
      "[4 5 6]\n",
      "2\n",
      "8\n",
      "[[1 2 3]\n",
      " [4 5 6]]\n",
      "[[1 2]\n",
      " [4 5]]\n",
      "--------------------------\n",
      "[4 5]\n"
     ]
    }
   ],
   "source": [
    "#【多维数组的索引和切片】\n",
    "import numpy as np\n",
    "\n",
    "arr2d = np.array([[1,2,3],[4,5,6],[7,8,9]])   #创建二维数组\n",
    "print(arr2d)\n",
    "\n",
    "print(arr2d[1])    #获取索引为1的数组\n",
    "#此时如果想通过索引的方式来获取二维数组的单个元素，就需要通过\"arr[x,y]\", 以逗号分隔的索引来实现\n",
    "#其中x 表示行号，y 表示列号\n",
    "print(arr2d[0, 1])    #获取位于第0行第1列的元素\n",
    "print(arr2d[2, 1])\n",
    "\n",
    "print(arr2d[:2])    #array([[1, 2, 3],\n",
    "                    #       [4, 5, 6]])\n",
    "print(arr2d[0:2, 0:2])    #array([[1, 2],\n",
    "                          #       [4, 5]])\n",
    "print('--------------------------')\n",
    "#切片和索引混合使用\n",
    "print(arr2d[1, :2])    #[4 5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8257e718-2d64-4c1e-bff0-c3fb9b717993",
   "metadata": {},
   "source": [
    "### 花式（数组）索引的基本使用\n",
    "- 花式索引是Numpy的一个术语，是指将整数数组或列表作为索引，然后根据索引数组或索引列表的每个元素作为目标数组的下标再进行取值\n",
    "- 当使用一维数组或列表作为索引时，如果使用索引要操作的目标是"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "998c8243-9b19-4425-a77f-49dddabc8dcd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0. 1. 2. 3.]\n",
      " [1. 2. 3. 4.]\n",
      " [2. 3. 4. 5.]\n",
      " [3. 4. 5. 6.]]\n",
      "[[0. 1. 2. 3.]\n",
      " [1. 2. 3. 4.]\n",
      " [2. 3. 4. 5.]\n",
      " [3. 4. 5. 6.]]\n",
      "[[0. 1. 2. 3.]\n",
      " [1. 2. 3. 4.]\n",
      " [2. 3. 4. 5.]\n",
      " [3. 4. 5. 6.]]\n",
      "[[0. 1. 2. 3.]\n",
      " [1. 2. 3. 4.]\n",
      " [2. 3. 4. 5.]\n",
      " [3. 4. 5. 6.]]\n",
      "[[0. 1. 2. 3.]\n",
      " [2. 3. 4. 5.]]\n"
     ]
    }
   ],
   "source": [
    "#创建一个4行4列的二维数组\n",
    "import numpy as np\n",
    "\n",
    "demo_arr = np.empty((4, 4))    #创建一个空数组\n",
    "for i in range(4):\n",
    "    demo_arr[i] = np.arange(i, i+4)    #动态的为数组添加元素\n",
    "    print(demo_arr)\n",
    "#[[0. 1. 2. 3.]\n",
    "#[1. 2. 3. 4.]\n",
    "#[2. 3. 4. 5.]\n",
    "#[3. 4. 5. 6.]]\n",
    "\n",
    "#将[0,2]作为索引，分别获取demo_arr中索引0对应的一行数据以及索引2对应的一行数据\n",
    "print(demo_arr[[0, 2]])\n",
    "#[[0. 1. 2. 3.]\n",
    "# [2. 3. 4. 5.]]\n",
    "#【如果采用两个花式索引操作数组时，即两个列表或数组，则会将第1个作为对象行进行索引，第2个作为列进行索引，通过二维数组的方式，选取对应位置的元素】\n",
    "demo_arr_result = demo_arr[[1,3], [1,2]]    #获取索引为(1,1)和(3,2)的元素\n",
    "print(demo_arr_result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a140e30-c1f5-4093-be3a-85cbc3c51d43",
   "metadata": {},
   "source": [
    "## 布尔型索引的基本使用\n",
    "- 布尔型索引指的是一个布尔数据作为数组索引。\n",
    "- 假设现在有一组存储了4位学生的姓名(祁煜，沈星回，黎深，秦彻)的数组，以及一组存储了学生各科成绩的数组。存储学生成绩的数组中，每一行成绩对应的是一个学生的成绩。如果我们想筛选某个学生对应的成绩，可以通过比较运算符，先产生一个布尔型数组，然后利用布尔型数组作为索引，返回布尔值True对应的位置的数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "543e07b2-1dfe-4b67-b3af-dab0e363b041",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['祁煜' '沈星回' '黎深' '秦彻']\n",
      "[[100 100 100]\n",
      " [ 89  90  92]\n",
      " [ 83  78  85]\n",
      " [ 78  76  80]]\n",
      "[False False  True False]\n",
      "[[89 90 92]]\n",
      "[[100]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "#存储学生姓名的数组\n",
    "student_name = np.array(['祁煜', '沈星回', '黎深', '秦彻'])\n",
    "print(student_name)\n",
    "\n",
    "#存储学生成绩的数组\n",
    "student_score = np.array([[100, 100, 100],[89, 90, 92],[83, 78, 85],[78, 76, 80]])\n",
    "print(student_score)\n",
    "\n",
    "#对student_name和字符串“黎深”通过运算符产生一个布尔型数组\n",
    "print(student_name == '黎深')    #array([False, False, True, False])\n",
    "\n",
    "#将布尔型数组作为索引用于存储成绩的数据student_score\n",
    "#返回的数据是True值对应的行\n",
    "print(student_score[student_name=='沈星回'])\n",
    "#[[83 78 85]]\n",
    "\n",
    "#将切片和布尔值混合使用\n",
    "print(student_score[student_name == '祁煜', :1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e93dba8b-006a-48f3-bd25-e1ba98c5b822",
   "metadata": {},
   "source": [
    "## 数组的转置和轴对称\n",
    "- 数组的转置指的是将数组中的每个元素按照一定的规则进行位置变换。Numpy提供了transpose()方法和T属性两种实现方式。其中，简单的转置可以使用T属性，它其实就是进行轴兑换而已，例如：现在有3行4列的二维数组，那么使用T属性对数组进行转置后，就会形成一个4行3列的新二位数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "eef9f1c6-37c0-4b52-942b-670d0ba3473f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0  1  2  3]\n",
      " [ 4  5  6  7]\n",
      " [ 8  9 10 11]]\n",
      "----------------------\n",
      "[[ 0  4  8]\n",
      " [ 1  5  9]\n",
      " [ 2  6 10]\n",
      " [ 3  7 11]]\n"
     ]
    }
   ],
   "source": [
    "arr = np.arange(12).reshape(3, 4)\n",
    "print(arr)\n",
    "\n",
    "print('----------------------')\n",
    "print(arr.T)    #使用T属性对数组进行转置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f9b815d-99b3-40e2-b962-b113316a85ae",
   "metadata": {},
   "source": [
    "对于高维度的数据而言，transpose()方法需要得到一个由轴编号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7bebd7d7-d271-4f32-817e-6c82897a4d6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[ 0  1  2  3]\n",
      "  [ 4  5  6  7]]\n",
      "\n",
      " [[ 8  9 10 11]\n",
      "  [12 13 14 15]]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "arr = np.arange(16).reshape(2, 2, 4)\n",
    "print(arr)\n",
    "\n",
    "print(arr.shape)\n",
    "# 由于arr的shape是(2,2,4)，表示一个三维数组，也就是说有三个轴，每个轴对应着一个编号，分别为0，1，2\n",
    "#如果此时进行转置操作，就需要对他的shape中的顺序进行调换，也就是说，当使用transpose()方法对数组的shape进行变换\n",
    "#需要以元组的形式传入shape的编号，比如(1,2,0),如果调用transpose()方法传入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2f4ad666-b199-4ce2-94eb-d143200daaf9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2. 3. 4.]\n",
      "[ 4  9 16]\n",
      "[ 16  81 256]\n",
      "[23 19 17 23]\n",
      "[132  90  52 120]\n",
      "[12 10 13 15]\n",
      "[ True False  True  True]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "#计算数组元素的平方根\n",
    "arr = np.array([4, 9, 16])\n",
    "print(np.sqrt(arr))    #[2. 3. 4.]\n",
    "\n",
    "#计算数组元素的绝对值\n",
    "print(np.abs(arr))\n",
    "\n",
    "#计算数组元素的平方\n",
    "print(np.square(arr))\n",
    "\n",
    "#二元通用函数的用法\n",
    "x = np.array([12, 9, 13, 15])\n",
    "y = np.array([11, 10, 4, 8])\n",
    "#两个数组的和\n",
    "print(np.add(x, y))\n",
    "#两个数组的积\n",
    "print(np.multiply(x, y))\n",
    "#两个数组元素级最大值的比较\n",
    "print(np.maximum(x, y))\n",
    "#执行元素级的比较操作\n",
    "print(np.greater(x, y))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43ca0f1b-1783-4dd9-9e48-ab3f0df893ad",
   "metadata": {},
   "source": [
    "dot()矩阵乘法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "408dcb20-2e68-4259-9528-11e5de0d09eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[22 28]\n",
      " [49 64]]\n",
      "对角矩阵的方阵为： [[7 0 0]\n",
      " [0 8 0]\n",
      " [0 0 9]]\n",
      "矩阵的迹： 6\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "module 'numpy' has no attribute 'eig'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[32], line 29\u001b[0m\n\u001b[0;32m     22\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m矩阵的迹：\u001b[39m\u001b[38;5;124m'\u001b[39m, trace_A)  \u001b[38;5;66;03m#6\u001b[39;00m\n\u001b[0;32m     24\u001b[0m \u001b[38;5;66;03m#矩阵的行列式（det）\u001b[39;00m\n\u001b[0;32m     25\u001b[0m \u001b[38;5;66;03m#det_A = np.det(A)    #计算矩阵array1的行列式\u001b[39;00m\n\u001b[0;32m     26\u001b[0m \u001b[38;5;66;03m#print(det_A)\u001b[39;00m\n\u001b[0;32m     27\u001b[0m \n\u001b[0;32m     28\u001b[0m \u001b[38;5;66;03m#特征值和特征向量（eig）\u001b[39;00m\n\u001b[1;32m---> 29\u001b[0m eigenvalues, eigenvectors \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39meig(A)\n\u001b[0;32m     30\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m特征值A: \u001b[39m\u001b[38;5;124m'\u001b[39m, eigenvalues)\n\u001b[0;32m     31\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m特征向量A: \u001b[39m\u001b[38;5;124m'\u001b[39m, eigenvectors)\n",
      "File \u001b[1;32mD:\\anaconda3\\Lib\\site-packages\\numpy\\__init__.py:333\u001b[0m, in \u001b[0;36m__getattr__\u001b[1;34m(attr)\u001b[0m\n\u001b[0;32m    330\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRemoved in NumPy 1.25.0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    331\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTester was removed in NumPy 1.25.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 333\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodule \u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m has no attribute \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    334\u001b[0m                      \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;18m__name__\u001b[39m, attr))\n",
      "\u001b[1;31mAttributeError\u001b[0m: module 'numpy' has no attribute 'eig'"
     ]
    }
   ],
   "source": [
    "#线性运算\n",
    "#coding:UTF-8\n",
    "import numpy as np\n",
    "\n",
    "A = np.array([[4,1,2],[3,5,1],[4,1,3]])\n",
    "\n",
    "#创建第一个数组（2x3）\n",
    "array1 = np.array([[1, 2, 3], [4, 5, 6]])\n",
    "#创建第二个数组（3x2）\n",
    "array2 = np.array([[1, 2], [3, 4], [5, 6]])\n",
    "\n",
    "#使用numpy.dot 进行矩阵乘法\n",
    "result = np.dot(array1, array2)\n",
    "print(result)\n",
    "\n",
    "#创建对角矩阵\n",
    "D = np.diag([7, 8, 9])    #创建一个3x3的对角矩阵\n",
    "print('对角矩阵的方阵为：',D)\n",
    "\n",
    "#矩阵的迹 （trace）\n",
    "trace_A = np.trace(array1)    #计算矩阵A的迹\n",
    "print('矩阵的迹：', trace_A)  #6\n",
    "\n",
    "#矩阵的行列式（det）\n",
    "#det_A = np.det(A)    #计算矩阵array1的行列式\n",
    "#print(det_A)\n",
    "\n",
    "#特征值和特征向量（eig）\n",
    "eigenvalues, eigenvectors = np.eig(A)\n",
    "print('特征值A: ', eigenvalues)\n",
    "print('特征向量A: ', eigenvectors)\n",
    "\n",
    "#矩阵的逆\n",
    "inv_A = np.linslg.inv(A)\n",
    "print('矩阵的逆：', inv_A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "384badf8-3eb1-4f5c-aa4f-870cbd69734e",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'np' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m#coding:UTF-8\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;66;03m#定义一个矩阵\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m matrix \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m4\u001b[39m,\u001b[38;5;241m7\u001b[39m],\n\u001b[0;32m      4\u001b[0m                  [\u001b[38;5;241m2\u001b[39m,\u001b[38;5;241m6\u001b[39m])\n\u001b[0;32m      6\u001b[0m \u001b[38;5;66;03m#计算行列式\u001b[39;00m\n\u001b[0;32m      7\u001b[0m determinant \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mlinalg\u001b[38;5;241m.\u001b[39mdet(matrix)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'np' is not defined"
     ]
    }
   ],
   "source": [
    "#coding:UTF-8\n",
    "#定义一个矩阵\n",
    "matrix = np.array([4,7],\n",
    "                 [2,6])\n",
    "\n",
    "#计算行列式\n",
    "determinant = np.linalg.det(matrix)\n",
    "\n",
    "#输出结果\n",
    "print('矩阵的行列式为：', determinant)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eb1a9ba3-791f-4d73-a0cb-b22b0b39f772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数组 a [1 2 3]\n",
      "数组 b\n",
      " [[4 5 6]\n",
      " [7 8 9]]\n",
      "数组b的形状： (2, 3)\n",
      "数组a的数据类型： int32\n",
      "a + 2: [3 4 5]\n",
      "a * 2: [2 4 6]\n",
      "np.sin(a): [0.84147098 0.90929743 0.14112001]\n",
      "np.exp(a): [ 2.71828183  7.3890561  20.08553692]\n",
      "np.log(b): [[1.38629436 1.60943791 1.79175947]\n",
      " [1.94591015 2.07944154 2.19722458]]\n",
      "矩阵：\n",
      " [[1 2]\n",
      " [3 4]]\n",
      "矩阵的逆：\n",
      " [[-2.   1. ]\n",
      " [ 1.5 -0.5]]\n",
      "矩阵的行列式：\n",
      " -2.0000000000000004\n",
      "特征值： [-0.37228132  5.37228132]\n",
      "特征向量：\n",
      " [[-0.82456484 -0.41597356]\n",
      " [ 0.56576746 -0.90937671]]\n",
      "随机数组h(前10个元素)： [-1.54736737 -0.76910777  1.37394414  1.23717747  1.56626215  0.28390147\n",
      " -0.80496337 -0.41332293 -2.00891798  0.7961421 ]\n",
      "h 的平均值： 0.05259710297683612\n",
      "h 的标准差： 0.9663536302848612\n",
      "h 的中位数： 0.13048658503732935\n",
      "h 的最大值： 2.396440016464614\n",
      "h 的最小值： -2.4992842216196984\n",
      "sqrt(a):  [1.         1.41421356 1.73205081]\n",
      "a^2:  [1 4 9]\n",
      "沿 b 轴 0 的总和： [11 13 15]\n",
      "沿 b 轴 1 的乘积： [120 504]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "#创建数组\n",
    "a = np.array([1,2,3])\n",
    "b = np.array([[4,5,6],[7,8,9]])\n",
    "\n",
    "print('数组 a', a)\n",
    "print('数组 b\\n', b)\n",
    "\n",
    "#数组属性\n",
    "print(\"数组b的形状：\", b.shape)\n",
    "print(\"数组a的数据类型：\", a.dtype)\n",
    "\n",
    "#数组操作\n",
    "c = a + 2\n",
    "d = a * 2\n",
    "e = np.sin(a)    #正弦函数\n",
    "f = np.exp(a)    #指数函数\n",
    "g = np.log(b)   #自然对数\n",
    "\n",
    "print(\"a + 2:\", c)\n",
    "print(\"a * 2:\", d)\n",
    "print(\"np.sin(a):\", e)\n",
    "print(\"np.exp(a):\", f)\n",
    "print(\"np.log(b):\", g)\n",
    "\n",
    "#线性代数\n",
    "matrix = np.array([[1,2], [3,4]])\n",
    "inv_matrix = np.linalg.inv(matrix)   #逆矩阵\n",
    "det_matrix = np.linalg.det(matrix)   #行列式\n",
    "eigenvalues, eigenvectors = np.linalg.eig(matrix)   #特征值与特征向量\n",
    "print(\"矩阵：\\n\", matrix)\n",
    "print(\"矩阵的逆：\\n\", inv_matrix)\n",
    "print(\"矩阵的行列式：\\n\", det_matrix)\n",
    "print(\"特征值：\", eigenvalues)\n",
    "print(\"特征向量：\\n\", eigenvectors)\n",
    "\n",
    "#统计\n",
    "h = np.random.randn(100)    #生成标准正态分布的随机样本\n",
    "mean_h = np.mean(h)    #平均值\n",
    "sid_h = np.std(h)    #标准差\n",
    "median_h = np.median(h)    #中位数\n",
    "max_h = np.max(h)    #最大值\n",
    "min_h = np.min(h)    #最小值\n",
    "\n",
    "print(\"随机数组h(前10个元素)：\", h[:10])\n",
    "print(\"h 的平均值：\", mean_h)\n",
    "print(\"h 的标准差：\", sid_h)\n",
    "print(\"h 的中位数：\", median_h)\n",
    "print(\"h 的最大值：\", max_h)\n",
    "print(\"h 的最小值：\", min_h)\n",
    "\n",
    "#数学函数\n",
    "i = np.sqrt(a)    #平方根\n",
    "j = np.power(a, 2)   #幂运算\n",
    "k = np.sum(b, axis=0)    #沿轴求和\n",
    "l = np.prod(b, axis=1)    #沿轴求积\n",
    "\n",
    "print(\"sqrt(a): \", i)\n",
    "print(\"a^2: \", j)\n",
    "print(\"沿 b 轴 0 的总和：\", k)\n",
    "print(\"沿 b 轴 1 的乘积：\", l)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ff5bf50-effe-4c5d-b8e7-20561cf44dbf",
   "metadata": {},
   "source": [
    "## Numpy当中的随机数\n",
    "- seed() 使得随机数具有预见性，当传递的参数值不同或不传递参数时，则该函数的作用和rand() 相同，即多次生成随机数且每次生成的随机数值都不同\n",
    "- "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7f9d041a-4ffe-49e1-9ff7-685afe5aeb9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "生成随机数的种子： None\n",
      "随机生成包含5个浮点数元素的数组： [0.5488135  0.71518937 0.60276338 0.54488318 0.4236548 ]\n",
      "生成随机数的种子： None\n",
      "随机生成包含5个浮点数元素的数组： [0.5488135  0.71518937 0.60276338 0.54488318 0.4236548 ]\n",
      "生成随机数的种子： None\n",
      "随机生成包含5个浮点数元素的数组： [0.89404136 0.4786499  0.22283578 0.26272596 0.11824116]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np_seed = np.random.seed(0)    #生成随机数的种子\n",
    "np_rand = np.random.rand(5)    #随机生成包含5个元素的浮点数组\n",
    "print('生成随机数的种子：', np_seed)\n",
    "print('随机生成包含5个浮点数元素的数组：', np_rand)\n",
    "\n",
    "np_seed_1 = np.random.seed(0)    #生成随机数的种子\n",
    "np_rand_1 = np.random.rand(5)\n",
    "print('生成随机数的种子：', np_seed)\n",
    "print('随机生成包含5个浮点数元素的数组：', np_rand)\n",
    "\n",
    "#【虽然seed在此时输出的是None, 但是他能保证每次的随机值内容一致】\n",
    "\n",
    "np_seed_2 = np.random.seed()\n",
    "np_rand_2 = np.random.rand(5)\n",
    "print('生成随机数的种子：', np_seed_2)\n",
    "print('随机生成包含5个浮点数元素的数组：', np_rand_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3945d858-f298-47ce-a7e1-9ab8bf855156",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均匀分布的随机浮点数（0，1）： 0.5488135039273248\n",
      "均匀分布的随机整数[0, 10)： 5\n",
      "均匀分布的随机整数数组（0，1）：\n",
      " [[0.84426575 0.85794562 0.84725174]\n",
      " [0.6235637  0.38438171 0.29753461]\n",
      " [0.05671298 0.27265629 0.47766512]]\n",
      "正态分布N(0,1) 的随机数数组：\n",
      " [[-0.08767307  1.36687937]\n",
      " [ 1.1253141  -0.35899555]]\n",
      "Beta 分布 Beta(2,5) 的随机数数组：\n",
      " [[0.61936959 0.49056207]\n",
      " [0.21989816 0.35560928]]\n",
      "均匀分布 [0,1] 的随机数数组：\n",
      " [[0.21655035 0.13521817]\n",
      " [0.32414101 0.14967487]]\n",
      "离散均匀分布 [1,6] 的随机数数组：\n",
      " [[1 5]\n",
      " [2 5]]\n",
      "泊松分布 Poisson(3) 的随机数数组：\n",
      " [[4 3]\n",
      " [3 2]]\n",
      "二项分布 Binomial(10, 0.5) 的随机数数组：\n",
      " [[3 6]\n",
      " [4 5]]\n",
      "指数分布 Exponential(1/3) 的随机数数组： \n",
      " [[0.09342567 0.05770915]\n",
      " [0.03898514 0.35602406]]\n",
      "伽马分布 Gamma(2,2) 的随机数数组：\n",
      " [[2.60103678 2.47370726]\n",
      " [4.55675093 3.26163238]]\n",
      "卡方分布 Chi-square(2)的随机数数组：\n",
      " [[0.0799526  0.66482049]\n",
      " [0.25611352 0.70235217]]\n",
      "F分布 F(1,2)的随机数数组：\n",
      " [[0.05270773 0.00984311]\n",
      " [1.42790386 1.76848242]]\n",
      "t 分布 t(1) 的随机数数组：\n",
      " [[-0.75669461  1.47126734]\n",
      " [ 1.12294091 -1.10681605]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "#设置随机种子以保证结果可复现\n",
    "np.random.seed(0)\n",
    "\n",
    "#生成一个[0,1]之间的均匀分布随机数\n",
    "random_float = np.random.rand()\n",
    "print(\"均匀分布的随机浮点数（0，1）：\",random_float)\n",
    "\n",
    "#生成一个[0,10)之间的整数\n",
    "random_integer = np.random.randint(0, 10)\n",
    "print(\"均匀分布的随机整数[0, 10)：\", random_integer)\n",
    "\n",
    "#生成一个形状为（3，3）的数组，其中元素是[0,1)之间的均匀分布随机数\n",
    "random_array = np.random.rand(3, 3)\n",
    "print(\"均匀分布的随机整数数组（0，1）：\\n\", random_array)\n",
    "\n",
    "#生成一个形状为（2，2）的数组，其中元素是从正态分布N(0, 1) 中抽取的随机数\n",
    "normal_array = np.random.normal(loc=0.0, scale=1.0, size=(2,2))\n",
    "print(\"正态分布N(0,1) 的随机数数组：\\n\", normal_array)\n",
    "\n",
    "#生成一个形状为(2,2) 的数组，其中元素是从 Beta分布 Beta(2,5) 中抽取的随机数\n",
    "beta_array = np.random.beta(a=2, b=5, size=(2,2))\n",
    "print(\"Beta 分布 Beta(2,5) 的随机数数组：\\n\", beta_array)\n",
    "\n",
    "#生成一个形状为（2，2）的数组，其中元素是从[0,1) 区间的均匀分布中抽取的随机数\n",
    "uniform_array = np.random.uniform(low=0.0, high=1.0, size=(2,2))\n",
    "print(\"均匀分布 [0,1] 的随机数数组：\\n\", uniform_array)\n",
    "\n",
    "#生成一个形状为(2,2) 的数组，其中元素是从离散分布 [1,6] 中抽取的随机数\n",
    "dsicrete_uniform_array = np.random.randint(1, 7, size=(2,2))\n",
    "print(\"离散均匀分布 [1,6] 的随机数数组：\\n\", dsicrete_uniform_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从泊松分布 Poisson(3) 中抽取的随机数\n",
    "poisson_array = np.random.poisson(lam=3, size=(2,2))\n",
    "print(\"泊松分布 Poisson(3) 的随机数数组：\\n\", poisson_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从二项分布 Binomial(10, 0.5) 中抽取的随机数\n",
    "binomial_array = np.random.binomial(n=10, p=0.5, size=(2,2))\n",
    "print(\"二项分布 Binomial(10, 0.5) 的随机数数组：\\n\", binomial_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从指数分布 Exponential(1/3) 中抽取的随机数\n",
    "exponential_array = np.random.exponential(scale=1/3, size=(2,2))\n",
    "print(\"指数分布 Exponential(1/3) 的随机数数组： \\n\", exponential_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从伽马分布 Gamma(2,2) 中抽取的随机数\n",
    "gamma_array = np.random.gamma(shape=2, scale=2, size=(2,2))\n",
    "print(\"伽马分布 Gamma(2,2) 的随机数数组：\\n\", gamma_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从卡方分布 Chi-Square(2) 中抽取的随机数\n",
    "chi_square_array = np.random.chisquare(df=2, size=(2,2))\n",
    "print(\"卡方分布 Chi-square(2)的随机数数组：\\n\", chi_square_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从 F 分布 F(1,2) 中抽取的随机数\n",
    "f_distribution_array = np.random.f(dfnum=1, dfden=2, size=(2,2))\n",
    "print(\"F分布 F(1,2)的随机数数组：\\n\", f_distribution_array)\n",
    "\n",
    "#生成一个形状为 （2，2）的数组，其中元素是从 t分布 t(1)中抽取的随机数\n",
    "t_distribution_array = np.random.standard_t(df=1, size=(2,2))\n",
    "print(\"t 分布 t(1) 的随机数数组：\\n\", t_distribution_array)"
   ]
  }
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